Robots, insects and swarm intelligence

  title={Robots, insects and swarm intelligence},
  author={Amanda J. C. Sharkey},
  journal={Artificial Intelligence Review},
  • A. Sharkey
  • Published 1 December 2006
  • Computer Science
  • Artificial Intelligence Review
The aim of this paper is to consider the relationships between robots and insects. To this end, an overview is provided of the two main areas in which insects have been implicated in robotics research. First, robots have been used to provide working models of mechanisms underlying insect behaviour. Second, there are developments in robotics that have been inspired by our understanding of insect behaviour; in particular the approach of swarm robotics. In the final section of the paper, the… 

Heterogeneous robot Swarm -- hardware design and implementation

This project is a comprehensive study of the hardware architecture of the homogeneous robot swarm and several problems related to the important aspects of robot's hardware, such as: sensory units, communication among the modules, and hardware components.

An extensive review of research in swarm robotics

Swarm robotics is a new approach to the coordination of multi-robot systems which consist of large numbers of relatively simple robots which takes its inspiration from social insects. The most

Military buzz: race, robots and insects

ABSTRACT Claiming to “let evolution do the thinking for you,” biologists are teaming up with roboticists and computer engineers in the emerging field of biomimetics to build animal-machines. One of

An introduction to swarming robotics: application development trends

The three branches of the main applications which are frequently used for SI namely: (1) optimization and networks design, (2) prediction and forecasting, and (3) SR are simplified.

Agile Experimentation of Robot Swarms in Large Scale

This chapter presents two examples of the developed ROS package to show how the new package simplifies working with swarms of robots and focuses on the application rather than the required configuration.

Design and modelling of decentralised task allocation mechanisms in groups of mobile agents

The research reported in this thesis is intended to provide a better understanding of the design issues oftask allocation strategies thus enabling researchers to use this as a guide to design effective task allocation strategies within the concerned multi-agent systems.

Hardware Architecture Review of Swarm Robotics System: Self-Reconfigurability, Self-Reassembly, and Self-Replication

This paper presents a comprehensive study on hardware architecture and several other important aspects of modular swarm robots, such as: self-reconfigurability, self-replication, and self-assembly.

An Ant-like Task Allocation Model for a Swarm of Heterogeneous Robots

Experimental results show that the incorporation of task switching mechanisms in specialised groups of robots improves the foraging efficiency and swarm energy significantly.

Swarm Robotics: An Extensive Research Review

As new solution approaches are being developed and validated, it is often possible to realize the advantages of swarm robotic systems.

Swarm-Based Techniques for Adaptive Navigation Primitives

This thesis successfully reproduces MAN cluster techniques via swarm control techniques, a less computationally expensive but less formalized control technique for MMS, which achieves robot control through a combination of primitive robot behaviors.



Swarm robotics and minimalism

A simple taxonomy of swarm robotics is presented here with the aim of addressing and clarifying questions about how far extensions of the original principles could go and distinguishing subareas of SR based on the emphases and justifications for minimalism and individual simplicity.

Collaboration Through the Exploitation of Local Interactions in Autonomous Collective Robotics: The Stick Pulling Experiment

This article presents an experiment which investigates how collaboration in a group of simple reactive robots can be obtained through the exploitation of local interactions, and shows that, compared to homogeneous groups of robots without communication, heterogeneity and signalling can significantly increase the collaboration rate when there are fewer robots than sticks.

Evolutionary Robotics: The Biology, Intelligence, and Technology of Self-Organizing Machines

This book describes the basic concepts and methodologies of evolutionary robotics and the results achieved so far, and describes the clear presentation of a set of empirical experiments of increasing complexity.

Using robots to model animals: a cricket test

  • B. Webb
  • Psychology
    Robotics Auton. Syst.
  • 1995

From local actions to global tasks: stigmergy and collective robotics

This paper presents a series of experiments where a group of mobile robots gather 81 randomly distributed objects and cluster them into one pile through stigmergy, a principle which allows indirect communication between agents through sensing and modification of the local environment which determines the agents’ behaviour.

Cooperative transport by ants and robots

A mobile robot employing insect strategies for navigation

Evolvable Hardware in Evolutionary Robotics

The context of evolvable hardware and evolutionary robotics is reviewed, and a few representative experiments in the field of robotic hardware evolution are presented.

The dynamics of collective sorting robot-like ants and ant-like robots

A distributed sorting algorithm, inspired by how ant colonies sort their brood, is presented for use by robot teams, offering the advantages of simplicity, flexibility and robustness.

Can robots make good models of biological behaviour?

  • B. Webb
  • Biology
    Behavioral and Brain Sciences
  • 2001
It is argued that in building robot models biological relevance is more effective than loose biological inspiration; multiple levels can be integrated; that generality cannot be assumed but might emerge from studying specific instances; abstraction is better done by simplification than idealisation; accuracy can be approached through iterations of complete systems; that the model should be able to match and predict target behaviour; and that a physical medium can have significant advantages.